{"id":"W2035306890","doi":"10.1002/cjce.5450840407","title":"A Quantitative Measure to Evaluate Competing Designs for Non‐linear Dynamic Process Identification","year":2006,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Control Systems and Identification","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Measure (data warehouse); Computer science; Process (computing); Sampling (signal processing); Design of experiments; Data mining; Content (measure theory); Mathematical optimization; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.152303,0.002572757,0.002734491,0.007347711,0.0008008537,0.003344507,0.002172943,0.002767963,0.004145344],"category_scores_gemma":[0.280562,0.0005684115,0.002256192,0.002864536,0.004198919,0.00334775,0.002944538,0.001922352,0.0003128114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0035014,"about_ca_system_score_gemma":0.002450531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004782847,"about_ca_topic_score_gemma":0.0003659565,"domain_scores_codex":[0.8539866,0.1174974,0.006742665,0.004084457,0.01672097,0.0009679116],"domain_scores_gemma":[0.4547379,0.5027483,0.01550911,0.01182721,0.01310868,0.002068764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009617013,0.001986169,0.02283271,0.004238855,0.00435403,0.0002203597,0.0003986091,0.4156468,0.01804786,0.2611865,0.003152288,0.2583188],"study_design_scores_gemma":[0.0008818251,0.01959459,0.01227917,0.0004506745,0.0007285108,0.0002481457,0.000227394,0.8249227,0.01520174,0.1205039,0.004675798,0.0002855879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05302899,0.00145083,0.9397805,0.0004028203,0.0002067386,0.0009815035,0.0004484998,0.0002975157,0.003402505],"genre_scores_gemma":[0.6756537,0.0002700097,0.3187388,0.0003581056,0.0001528087,0.003169395,0.0007253832,0.0001488453,0.0007829717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.152303,"threshold_uncertainty_score":0.805465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773340344864382,"score_gpt":0.245938050500553,"score_spread":0.2282046470519091,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}